453625 2 Joaquin Vanschoren 4601 Supervised Classification predictive_accuracy 1199 weka.ADTree(4) 2069 weka.classifiers.trees.ADTree -- -B 10 -E -3 -S 1 B 10 1199 E -3 1199 S 1 1199 weka weka_3.7.12 1043 ada_agnostic https://www.openml.org/data/download/53926/ada_agnostic.arff -1 1591801 description https://api.openml.org/data/download/1591801/weka_generated_run5603779103230783281.xml -1 1591804 model_readable https://api.openml.org/data/download/1591804/WekaModel_weka.classifiers.trees.ADTree8899690878578424618.model -1 1591803 model_serialized https://api.openml.org/data/download/1591803/WekaSerialized_weka.classifiers.trees.ADTree1720559435403725769.model -1 1591802 predictions https://api.openml.org/data/download/1591802/weka_generated_predictions4563325452885249729.arff area_under_roc_curve 0.885973 [0.885973,0.885973] average_cost 0 f_measure 0.83667 [0.898867,0.648211] kappa 0.548684 kb_relative_information_score 10115.392506 mean_absolute_error 0.282294 mean_prior_absolute_error 0.373185 number_of_instances 45620 [34300,11320] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.83586 [0.871004,0.729371] predictive_accuracy 0.842898 prior_entropy 0.808488 recall 0.842898 [0.928571,0.583304] relative_absolute_error 0.756443 root_mean_prior_squared_error 0.431932 root_mean_squared_error 0.345033 root_relative_squared_error 0.798813 scimark_benchmark 901.624298 [558.1570048, 1014.1868590421574, 482.14720472367435, 907.3865832622575, 1546.2438372196054] total_cost 0 usercpu_time_millis 1540 usercpu_time_millis_testing 10 usercpu_time_millis_training 1530 area_under_roc_curve 0.871618 [0.871618,0.871618] area_under_roc_curve 0.888816 [0.888816,0.888816] area_under_roc_curve 0.874508 [0.874508,0.874508] area_under_roc_curve 0.918879 [0.918879,0.918879] area_under_roc_curve 0.879546 [0.879546,0.879546] area_under_roc_curve 0.846542 [0.846542,0.846542] area_under_roc_curve 0.877487 [0.877487,0.877487] area_under_roc_curve 0.867066 [0.867066,0.867066] area_under_roc_curve 0.874214 [0.874214,0.874214] area_under_roc_curve 0.890504 [0.890504,0.890504] area_under_roc_curve 0.898049 [0.898049,0.898049] area_under_roc_curve 0.882807 [0.882807,0.882807] area_under_roc_curve 0.886668 [0.886668,0.886668] area_under_roc_curve 0.89654 [0.89654,0.89654] area_under_roc_curve 0.879277 [0.879277,0.879277] area_under_roc_curve 0.88695 [0.88695,0.88695] area_under_roc_curve 0.866375 [0.866375,0.866375] area_under_roc_curve 0.88929 [0.88929,0.88929] area_under_roc_curve 0.886924 [0.886924,0.886924] area_under_roc_curve 0.876835 [0.876835,0.876835] area_under_roc_curve 0.864651 [0.864651,0.864651] area_under_roc_curve 0.911388 [0.911388,0.911388] area_under_roc_curve 0.898385 [0.898385,0.898385] area_under_roc_curve 0.898424 [0.898424,0.898424] area_under_roc_curve 0.893393 [0.893393,0.893393] area_under_roc_curve 0.879138 [0.879138,0.879138] area_under_roc_curve 0.883988 [0.883988,0.883988] area_under_roc_curve 0.880234 [0.880234,0.880234] area_under_roc_curve 0.884659 [0.884659,0.884659] area_under_roc_curve 0.902629 [0.902629,0.902629] area_under_roc_curve 0.904925 [0.904925,0.904925] area_under_roc_curve 0.898811 [0.898811,0.898811] area_under_roc_curve 0.895031 [0.895031,0.895031] area_under_roc_curve 0.868276 [0.868276,0.868276] area_under_roc_curve 0.878248 [0.878248,0.878248] area_under_roc_curve 0.898307 [0.898307,0.898307] area_under_roc_curve 0.873926 [0.873926,0.873926] area_under_roc_curve 0.881176 [0.881176,0.881176] area_under_roc_curve 0.903597 [0.903597,0.903597] area_under_roc_curve 0.903545 [0.903545,0.903545] area_under_roc_curve 0.898617 [0.898617,0.898617] area_under_roc_curve 0.858575 [0.858575,0.858575] area_under_roc_curve 0.881821 [0.881821,0.881821] area_under_roc_curve 0.880544 [0.880544,0.880544] area_under_roc_curve 0.893212 [0.893212,0.893212] area_under_roc_curve 0.885691 [0.885691,0.885691] area_under_roc_curve 0.905261 [0.905261,0.905261] area_under_roc_curve 0.899288 [0.899288,0.899288] area_under_roc_curve 0.887742 [0.887742,0.887742] area_under_roc_curve 0.879151 [0.879151,0.879151] area_under_roc_curve 0.908512 [0.908512,0.908512] area_under_roc_curve 0.894154 [0.894154,0.894154] area_under_roc_curve 0.8759 [0.8759,0.8759] area_under_roc_curve 0.876584 [0.876584,0.876584] area_under_roc_curve 0.848732 [0.848732,0.848732] area_under_roc_curve 0.891148 [0.891148,0.891148] area_under_roc_curve 0.891187 [0.891187,0.891187] area_under_roc_curve 0.887162 [0.887162,0.887162] area_under_roc_curve 0.896618 [0.896618,0.896618] area_under_roc_curve 0.886272 [0.886272,0.886272] area_under_roc_curve 0.887033 [0.887033,0.887033] area_under_roc_curve 0.879112 [0.879112,0.879112] area_under_roc_curve 0.885885 [0.885885,0.885885] area_under_roc_curve 0.892631 [0.892631,0.892631] area_under_roc_curve 0.893702 [0.893702,0.893702] area_under_roc_curve 0.892644 [0.892644,0.892644] area_under_roc_curve 0.888774 [0.888774,0.888774] area_under_roc_curve 0.901081 [0.901081,0.901081] area_under_roc_curve 0.869862 [0.869862,0.869862] area_under_roc_curve 0.858562 [0.858562,0.858562] area_under_roc_curve 0.891857 [0.891857,0.891857] area_under_roc_curve 0.888813 [0.888813,0.888813] area_under_roc_curve 0.893522 [0.893522,0.893522] area_under_roc_curve 0.866766 [0.866766,0.866766] area_under_roc_curve 0.902771 [0.902771,0.902771] area_under_roc_curve 0.888349 [0.888349,0.888349] area_under_roc_curve 0.877822 [0.877822,0.877822] area_under_roc_curve 0.893676 [0.893676,0.893676] area_under_roc_curve 0.887897 [0.887897,0.887897] area_under_roc_curve 0.875797 [0.875797,0.875797] area_under_roc_curve 0.8606 [0.8606,0.8606] area_under_roc_curve 0.879989 [0.879989,0.879989] area_under_roc_curve 0.877074 [0.877074,0.877074] area_under_roc_curve 0.866986 [0.866986,0.866986] area_under_roc_curve 0.882221 [0.882221,0.882221] area_under_roc_curve 0.902307 [0.902307,0.902307] area_under_roc_curve 0.915065 [0.915065,0.915065] area_under_roc_curve 0.88613 [0.88613,0.88613] area_under_roc_curve 0.879938 [0.879938,0.879938] area_under_roc_curve 0.908176 [0.908176,0.908176] area_under_roc_curve 0.884504 [0.884504,0.884504] area_under_roc_curve 0.88364 [0.88364,0.88364] area_under_roc_curve 0.905751 [0.905751,0.905751] area_under_roc_curve 0.925914 [0.925914,0.925914] area_under_roc_curve 0.900617 [0.900617,0.900617] area_under_roc_curve 0.89405 [0.89405,0.89405] area_under_roc_curve 0.897804 [0.897804,0.897804] area_under_roc_curve 0.873526 [0.873526,0.873526] area_under_roc_curve 0.889032 [0.889032,0.889032] area_under_roc_curve 0.87341 [0.87341,0.87341] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.844966 [0.904225,0.666667] f_measure 0.860253 [0.911932,0.704762] f_measure 0.822166 [0.890141,0.617647] f_measure 0.852666 [0.908062,0.68599] f_measure 0.839473 [0.906336,0.638298] f_measure 0.808017 [0.88424,0.57868] f_measure 0.837108 [0.898017,0.653846] f_measure 0.84557 [0.903955,0.669903] f_measure 0.807542 [0.877143,0.598131] f_measure 0.840406 [0.901408,0.656863] f_measure 0.831259 [0.893314,0.64455] f_measure 0.83553 [0.903315,0.631579] f_measure 0.810125 [0.887967,0.575916] f_measure 0.846334 [0.908333,0.659794] f_measure 0.832365 [0.9,0.628866] f_measure 0.835774 [0.900976,0.639594] f_measure 0.820932 [0.88826,0.618357] f_measure 0.841028 [0.90113,0.660194] f_measure 0.828878 [0.899032,0.617801] f_measure 0.828878 [0.899032,0.617801] f_measure 0.819767 [0.893204,0.596859] f_measure 0.858911 [0.909871,0.704225] f_measure 0.84713 [0.905501,0.669951] f_measure 0.855679 [0.911392,0.686567] f_measure 0.819026 [0.888889,0.606965] f_measure 0.817516 [0.88951,0.598985] f_measure 0.812896 [0.886713,0.588832] f_measure 0.83344 [0.897038,0.640394] f_measure 0.853382 [0.907539,0.688995] f_measure 0.818074 [0.893793,0.588235] f_measure 0.846007 [0.901004,0.67907] f_measure 0.844567 [0.906555,0.65641] f_measure 0.844539 [0.904225,0.663366] f_measure 0.81481 [0.888268,0.591837] f_measure 0.83149 [0.89548,0.637255] f_measure 0.842566 [0.90268,0.660099] f_measure 0.827603 [0.892351,0.631068] f_measure 0.83621 [0.893064,0.663636] f_measure 0.840599 [0.90113,0.656863] f_measure 0.847799 [0.897059,0.698276] f_measure 0.851931 [0.905714,0.688679] f_measure 0.799481 [0.87069,0.583333] f_measure 0.832772 [0.894886,0.644231] f_measure 0.830134 [0.896067,0.63] f_measure 0.840995 [0.898426,0.666667] f_measure 0.822136 [0.892308,0.609137] f_measure 0.842393 [0.900285,0.666667] f_measure 0.838647 [0.901961,0.646465] f_measure 0.857894 [0.910384,0.698565] f_measure 0.815919 [0.890125,0.590674] f_measure 0.84436 [0.901849,0.669856] f_measure 0.844539 [0.904225,0.663366] f_measure 0.836044 [0.898305,0.647059] f_measure 0.81944 [0.891061,0.602041] f_measure 0.81975 [0.888575,0.610837] f_measure 0.837252 [0.902507,0.639175] f_measure 0.841934 [0.902954,0.656716] f_measure 0.831236 [0.89049,0.651376] f_measure 0.83144 [0.89301,0.64455] f_measure 0.854824 [0.909348,0.68932] f_measure 0.851201 [0.910864,0.670103] f_measure 0.828883 [0.891738,0.638095] f_measure 0.854262 [0.909605,0.686275] f_measure 0.840995 [0.898426,0.666667] f_measure 0.839316 [0.901685,0.65] f_measure 0.838471 [0.897143,0.660377] f_measure 0.835935 [0.895863,0.654028] f_measure 0.826936 [0.892655,0.627451] f_measure 0.836044 [0.898305,0.647059] f_measure 0.808623 [0.888276,0.566845] f_measure 0.849111 [0.907042,0.673267] f_measure 0.843507 [0.899713,0.672897] f_measure 0.843881 [0.906815,0.65285] f_measure 0.818282 [0.889201,0.603015] f_measure 0.839184 [0.894049,0.672646] f_measure 0.851931 [0.905714,0.688679] f_measure 0.848498 [0.907303,0.67] f_measure 0.825622 [0.888252,0.635514] f_measure 0.83922 [0.904033,0.642487] f_measure 0.814076 [0.878613,0.618182] f_measure 0.821677 [0.890141,0.613861] f_measure 0.816311 [0.896458,0.573034] f_measure 0.811559 [0.877345,0.611872] f_measure 0.82524 [0.895688,0.611399] f_measure 0.83708 [0.895265,0.660465] f_measure 0.861363 [0.91372,0.702439] f_measure 0.858344 [0.907514,0.709091] f_measure 0.849852 [0.911357,0.663158] f_measure 0.832771 [0.897328,0.636816] f_measure 0.863897 [0.915014,0.708738] f_measure 0.835935 [0.895863,0.654028] f_measure 0.838003 [0.899859,0.650246] f_measure 0.856478 [0.913408,0.683673] f_measure 0.862324 [0.910663,0.715596] f_measure 0.854824 [0.909348,0.68932] f_measure 0.838471 [0.897143,0.660377] f_measure 0.855207 [0.913889,0.677083] f_measure 0.850485 [0.908836,0.673367] f_measure 0.826756 [0.895105,0.619289] f_measure 0.841811 [0.900568,0.663462] kappa 0.572592 kappa 0.617532 kappa 0.509738 kappa 0.595272 kappa 0.54991 kappa 0.466549 kappa 0.553081 kappa 0.575267 kappa 0.475959 kappa 0.560021 kappa 0.538763 kappa 0.539725 kappa 0.469146 kappa 0.571672 kappa 0.532733 kappa 0.543675 kappa 0.5081 kappa 0.562775 kappa 0.521576 kappa 0.521576 kappa 0.494559 kappa 0.614534 kappa 0.577006 kappa 0.59971 kappa 0.498049 kappa 0.491531 kappa 0.478659 kappa 0.539126 kappa 0.597326 kappa 0.487775 kappa 0.580413 kappa 0.565949 kappa 0.569321 kappa 0.483418 kappa 0.534296 kappa 0.564379 kappa 0.524726 kappa 0.556805 kappa 0.559469 kappa 0.595427 kappa 0.594929 kappa 0.454386 kappa 0.540135 kappa 0.528307 kappa 0.565586 kappa 0.504404 kappa 0.567702 kappa 0.550916 kappa 0.609716 kappa 0.484842 kappa 0.572546 kappa 0.569321 kappa 0.546882 kappa 0.496332 kappa 0.501246 kappa 0.545027 kappa 0.561587 kappa 0.54206 kappa 0.538262 kappa 0.59977 kappa 0.584025 kappa 0.530648 kappa 0.597229 kappa 0.565586 kappa 0.553804 kappa 0.558104 kappa 0.550575 kappa 0.521709 kappa 0.546882 kappa 0.461166 kappa 0.581988 kappa 0.573022 kappa 0.563093 kappa 0.494811 kappa 0.56672 kappa 0.594929 kappa 0.579301 kappa 0.524225 kappa 0.550051 kappa 0.496913 kappa 0.505986 kappa 0.478685 kappa 0.489382 kappa 0.510926 kappa 0.556089 kappa 0.617323 kappa 0.616696 kappa 0.578497 kappa 0.536172 kappa 0.624784 kappa 0.550575 kappa 0.551753 kappa 0.599649 kappa 0.626417 kappa 0.59977 kappa 0.558104 kappa 0.594364 kappa 0.584338 kappa 0.517276 kappa 0.564992 kb_relative_information_score 100.16232 kb_relative_information_score 105.109998 kb_relative_information_score 83.471438 kb_relative_information_score 113.369794 kb_relative_information_score 100.237304 kb_relative_information_score 87.309983 kb_relative_information_score 96.738656 kb_relative_information_score 89.04496 kb_relative_information_score 94.41412 kb_relative_information_score 105.579966 kb_relative_information_score 99.983836 kb_relative_information_score 104.255656 kb_relative_information_score 98.176765 kb_relative_information_score 112.394338 kb_relative_information_score 116.650618 kb_relative_information_score 109.702118 kb_relative_information_score 97.985075 kb_relative_information_score 104.283278 kb_relative_information_score 109.807182 kb_relative_information_score 97.025328 kb_relative_information_score 98.45201 kb_relative_information_score 112.827577 kb_relative_information_score 102.716991 kb_relative_information_score 110.882817 kb_relative_information_score 98.381153 kb_relative_information_score 87.514816 kb_relative_information_score 91.597542 kb_relative_information_score 107.223434 kb_relative_information_score 106.83057 kb_relative_information_score 111.632332 kb_relative_information_score 107.792685 kb_relative_information_score 124.495571 kb_relative_information_score 108.676872 kb_relative_information_score 89.62775 kb_relative_information_score 90.074422 kb_relative_information_score 104.370648 kb_relative_information_score 81.87282 kb_relative_information_score 85.027152 kb_relative_information_score 105.766748 kb_relative_information_score 108.154998 kb_relative_information_score 105.814403 kb_relative_information_score 85.454618 kb_relative_information_score 105.501265 kb_relative_information_score 115.479263 kb_relative_information_score 104.16786 kb_relative_information_score 91.624576 kb_relative_information_score 118.138775 kb_relative_information_score 108.194915 kb_relative_information_score 100.433585 kb_relative_information_score 102.188632 kb_relative_information_score 110.145162 kb_relative_information_score 99.466123 kb_relative_information_score 90.0296 kb_relative_information_score 95.109015 kb_relative_information_score 83.234465 kb_relative_information_score 106.313086 kb_relative_information_score 111.032988 kb_relative_information_score 106.005376 kb_relative_information_score 101.812658 kb_relative_information_score 103.914517 kb_relative_information_score 102.791991 kb_relative_information_score 78.618768 kb_relative_information_score 99.832676 kb_relative_information_score 92.224242 kb_relative_information_score 114.085503 kb_relative_information_score 106.162456 kb_relative_information_score 100.454678 kb_relative_information_score 102.307517 kb_relative_information_score 91.339345 kb_relative_information_score 91.810257 kb_relative_information_score 101.559703 kb_relative_information_score 95.274713 kb_relative_information_score 118.100838 kb_relative_information_score 83.235614 kb_relative_information_score 111.015373 kb_relative_information_score 103.710284 kb_relative_information_score 101.40848 kb_relative_information_score 96.488523 kb_relative_information_score 105.550977 kb_relative_information_score 79.444522 kb_relative_information_score 93.42292 kb_relative_information_score 103.731906 kb_relative_information_score 91.597042 kb_relative_information_score 88.641558 kb_relative_information_score 87.831953 kb_relative_information_score 114.600215 kb_relative_information_score 107.626948 kb_relative_information_score 102.843902 kb_relative_information_score 108.90176 kb_relative_information_score 110.144706 kb_relative_information_score 83.34498 kb_relative_information_score 106.343938 kb_relative_information_score 112.730513 kb_relative_information_score 121.421351 kb_relative_information_score 107.528343 kb_relative_information_score 106.391122 kb_relative_information_score 111.392522 kb_relative_information_score 98.492674 kb_relative_information_score 84.58541 kb_relative_information_score 94.719762 mean_absolute_error 0.283098 mean_absolute_error 0.279404 mean_absolute_error 0.295578 mean_absolute_error 0.277369 mean_absolute_error 0.283518 mean_absolute_error 0.292235 mean_absolute_error 0.285682 mean_absolute_error 0.289639 mean_absolute_error 0.2849 mean_absolute_error 0.28274 mean_absolute_error 0.283649 mean_absolute_error 0.282545 mean_absolute_error 0.289341 mean_absolute_error 0.277408 mean_absolute_error 0.272784 mean_absolute_error 0.278693 mean_absolute_error 0.283442 mean_absolute_error 0.281426 mean_absolute_error 0.279282 mean_absolute_error 0.285681 mean_absolute_error 0.282337 mean_absolute_error 0.277498 mean_absolute_error 0.281875 mean_absolute_error 0.276421 mean_absolute_error 0.284865 mean_absolute_error 0.290336 mean_absolute_error 0.289998 mean_absolute_error 0.277829 mean_absolute_error 0.277503 mean_absolute_error 0.277628 mean_absolute_error 0.275802 mean_absolute_error 0.268064 mean_absolute_error 0.276512 mean_absolute_error 0.289133 mean_absolute_error 0.289537 mean_absolute_error 0.280551 mean_absolute_error 0.294359 mean_absolute_error 0.292885 mean_absolute_error 0.280236 mean_absolute_error 0.275405 mean_absolute_error 0.279469 mean_absolute_error 0.289085 mean_absolute_error 0.275836 mean_absolute_error 0.272301 mean_absolute_error 0.279687 mean_absolute_error 0.289583 mean_absolute_error 0.272619 mean_absolute_error 0.279403 mean_absolute_error 0.283743 mean_absolute_error 0.283327 mean_absolute_error 0.277208 mean_absolute_error 0.28439 mean_absolute_error 0.288895 mean_absolute_error 0.287451 mean_absolute_error 0.287507 mean_absolute_error 0.279807 mean_absolute_error 0.276405 mean_absolute_error 0.275405 mean_absolute_error 0.280109 mean_absolute_error 0.279278 mean_absolute_error 0.280526 mean_absolute_error 0.296485 mean_absolute_error 0.281996 mean_absolute_error 0.286218 mean_absolute_error 0.273095 mean_absolute_error 0.276099 mean_absolute_error 0.280534 mean_absolute_error 0.283635 mean_absolute_error 0.288065 mean_absolute_error 0.287761 mean_absolute_error 0.282103 mean_absolute_error 0.284207 mean_absolute_error 0.27215 mean_absolute_error 0.29106 mean_absolute_error 0.278254 mean_absolute_error 0.278816 mean_absolute_error 0.281647 mean_absolute_error 0.285195 mean_absolute_error 0.279551 mean_absolute_error 0.295686 mean_absolute_error 0.285624 mean_absolute_error 0.277518 mean_absolute_error 0.286877 mean_absolute_error 0.291584 mean_absolute_error 0.292228 mean_absolute_error 0.27411 mean_absolute_error 0.27914 mean_absolute_error 0.279465 mean_absolute_error 0.277229 mean_absolute_error 0.276222 mean_absolute_error 0.295569 mean_absolute_error 0.279912 mean_absolute_error 0.275623 mean_absolute_error 0.268734 mean_absolute_error 0.28204 mean_absolute_error 0.277378 mean_absolute_error 0.275025 mean_absolute_error 0.284261 mean_absolute_error 0.293559 mean_absolute_error 0.285424 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373848 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 mean_prior_absolute_error 0.373019 number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 457 [343,114] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] number_of_instances 456 [343,113] precision 0.844949 [0.874659,0.755556] precision 0.859671 [0.889197,0.770833] precision 0.820865 [0.861035,0.7] precision 0.852326 [0.881868,0.763441] precision 0.846985 [0.859008,0.810811] precision 0.80747 [0.847594,0.686747] precision 0.835892 [0.873278,0.723404] precision 0.845104 [0.876712,0.75] precision 0.805078 [0.859944,0.64] precision 0.840132 [0.871935,0.744444] precision 0.829518 [0.872222,0.701031] precision 0.841107 [0.858268,0.789474] precision 0.812195 [0.844737,0.714286] precision 0.850567 [0.867374,0.8] precision 0.83524 [0.859416,0.7625] precision 0.837544 [0.863636,0.759036] precision 0.819116 [0.862637,0.688172] precision 0.840336 [0.873973,0.73913] precision 0.833055 [0.855263,0.766234] precision 0.833055 [0.855263,0.766234] precision 0.821847 [0.851852,0.730769] precision 0.857758 [0.893258,0.75] precision 0.846942 [0.877049,0.755556] precision 0.85656 [0.880435,0.784091] precision 0.81768 [0.858696,0.693182] precision 0.817059 [0.854839,0.702381] precision 0.812086 [0.852151,0.690476] precision 0.832516 [0.868852,0.722222] precision 0.852382 [0.886111,0.75] precision 0.822167 [0.848168,0.743243] precision 0.844552 [0.887006,0.715686] precision 0.847054 [0.868984,0.780488] precision 0.844464 [0.874659,0.752809] precision 0.814446 [0.852547,0.698795] precision 0.830279 [0.868493,0.714286] precision 0.842134 [0.874317,0.744444] precision 0.825928 [0.867769,0.698925] precision 0.835046 [0.885387,0.682243] precision 0.839847 [0.873973,0.736264] precision 0.849443 [0.905045,0.680672] precision 0.85064 [0.887955,0.737374] precision 0.797221 [0.858357,0.61165] precision 0.831115 [0.872576,0.705263] precision 0.829716 [0.864499,0.724138] precision 0.839394 [0.882022,0.71] precision 0.822031 [0.857527,0.714286] precision 0.840927 [0.880223,0.721649] precision 0.839431 [0.867925,0.752941] precision 0.857053 [0.888889,0.760417] precision 0.816727 [0.851064,0.7125] precision 0.84304 [0.880556,0.729167] precision 0.844464 [0.874659,0.752809] precision 0.835063 [0.871233,0.725275] precision 0.819448 [0.855228,0.710843] precision 0.818091 [0.860656,0.688889] precision 0.839574 [0.864,0.765432] precision 0.84198 [0.872283,0.75] precision 0.829752 [0.880342,0.67619] precision 0.829591 [0.874302,0.693878] precision 0.854348 [0.884298,0.763441] precision 0.85477 [0.872,0.802469] precision 0.826977 [0.871866,0.690722] precision 0.854199 [0.882192,0.769231] precision 0.839394 [0.882022,0.71] precision 0.83949 [0.869919,0.747126] precision 0.83681 [0.879552,0.707071] precision 0.834221 [0.877095,0.704082] precision 0.825496 [0.865753,0.703297] precision 0.835063 [0.871233,0.725275] precision 0.811531 [0.842932,0.716216] precision 0.849298 [0.877384,0.764045] precision 0.841974 [0.884507,0.712871] precision 0.847315 [0.867021,0.7875] precision 0.817335 [0.856757,0.697674] precision 0.838542 [0.890173,0.681818] precision 0.85064 [0.887955,0.737374] precision 0.849264 [0.875339,0.770115] precision 0.823685 [0.873239,0.673267] precision 0.842217 [0.864362,0.775] precision 0.81269 [0.87106,0.635514] precision 0.820294 [0.861035,0.696629] precision 0.827353 [0.841432,0.784615] precision 0.809966 [0.868571,0.632075] precision 0.826923 [0.856383,0.7375] precision 0.835443 [0.881356,0.696078] precision 0.861404 [0.887363,0.782609] precision 0.857403 [0.899713,0.728972] precision 0.85571 [0.868074,0.818182] precision 0.83226 [0.866848,0.727273] precision 0.863822 [0.889807,0.784946] precision 0.834221 [0.877095,0.704082] precision 0.837325 [0.871585,0.733333] precision 0.859466 [0.876676,0.807229] precision 0.861273 [0.900285,0.742857] precision 0.854348 [0.884298,0.763441] precision 0.83681 [0.879552,0.707071] precision 0.860315 [0.872679,0.822785] precision 0.851736 [0.875676,0.77907] precision 0.827003 [0.860215,0.72619] precision 0.840499 [0.878116,0.726316] predictive_accuracy 0.851204 predictive_accuracy 0.864333 predictive_accuracy 0.829322 predictive_accuracy 0.857768 predictive_accuracy 0.851204 predictive_accuracy 0.818381 predictive_accuracy 0.842451 predictive_accuracy 0.851204 predictive_accuracy 0.811816 predictive_accuracy 0.846827 predictive_accuracy 0.835886 predictive_accuracy 0.846827 predictive_accuracy 0.822757 predictive_accuracy 0.85558 predictive_accuracy 0.842451 predictive_accuracy 0.844639 predictive_accuracy 0.827133 predictive_accuracy 0.846827 predictive_accuracy 0.840263 predictive_accuracy 0.840263 predictive_accuracy 0.83114 predictive_accuracy 0.861842 predictive_accuracy 0.85307 predictive_accuracy 0.861842 predictive_accuracy 0.826754 predictive_accuracy 0.826754 predictive_accuracy 0.822368 predictive_accuracy 0.839912 predictive_accuracy 0.857456 predictive_accuracy 0.83114 predictive_accuracy 0.848684 predictive_accuracy 0.85307 predictive_accuracy 0.850877 predictive_accuracy 0.824561 predictive_accuracy 0.837719 predictive_accuracy 0.848684 predictive_accuracy 0.833333 predictive_accuracy 0.837719 predictive_accuracy 0.846491 predictive_accuracy 0.846491 predictive_accuracy 0.855263 predictive_accuracy 0.802632 predictive_accuracy 0.837719 predictive_accuracy 0.837719 predictive_accuracy 0.844298 predictive_accuracy 0.83114 predictive_accuracy 0.846491 predictive_accuracy 0.846491 predictive_accuracy 0.861842 predictive_accuracy 0.826754 predictive_accuracy 0.848684 predictive_accuracy 0.850877 predictive_accuracy 0.842105 predictive_accuracy 0.828947 predictive_accuracy 0.826754 predictive_accuracy 0.846491 predictive_accuracy 0.848684 predictive_accuracy 0.833333 predictive_accuracy 0.835526 predictive_accuracy 0.859649 predictive_accuracy 0.859649 predictive_accuracy 0.833333 predictive_accuracy 0.859649 predictive_accuracy 0.844298 predictive_accuracy 0.846491 predictive_accuracy 0.842105 predictive_accuracy 0.839912 predictive_accuracy 0.833333 predictive_accuracy 0.842105 predictive_accuracy 0.822368 predictive_accuracy 0.855263 predictive_accuracy 0.846491 predictive_accuracy 0.85307 predictive_accuracy 0.826754 predictive_accuracy 0.839912 predictive_accuracy 0.855263 predictive_accuracy 0.855263 predictive_accuracy 0.828947 predictive_accuracy 0.848684 predictive_accuracy 0.815789 predictive_accuracy 0.828947 predictive_accuracy 0.833333 predictive_accuracy 0.813596 predictive_accuracy 0.835526 predictive_accuracy 0.839912 predictive_accuracy 0.866228 predictive_accuracy 0.859649 predictive_accuracy 0.859649 predictive_accuracy 0.839912 predictive_accuracy 0.868421 predictive_accuracy 0.839912 predictive_accuracy 0.844298 predictive_accuracy 0.864035 predictive_accuracy 0.864035 predictive_accuracy 0.859649 predictive_accuracy 0.842105 predictive_accuracy 0.864035 predictive_accuracy 0.857456 predictive_accuracy 0.835526 predictive_accuracy 0.846491 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 prior_entropy 0.808488 recall 0.851204 [0.93586,0.596491] recall 0.864333 [0.93586,0.649123] recall 0.829322 [0.921283,0.552632] recall 0.857768 [0.93586,0.622807] recall 0.851204 [0.959184,0.526316] recall 0.818381 [0.924198,0.5] recall 0.842451 [0.924198,0.596491] recall 0.851204 [0.932945,0.605263] recall 0.811816 [0.895044,0.561404] recall 0.846827 [0.932945,0.587719] recall 0.835886 [0.915452,0.596491] recall 0.846827 [0.953353,0.526316] recall 0.822757 [0.93586,0.482456] recall 0.85558 [0.953353,0.561404] recall 0.842451 [0.944606,0.535088] recall 0.844639 [0.941691,0.552632] recall 0.827133 [0.915452,0.561404] recall 0.846827 [0.930029,0.596491] recall 0.840263 [0.947522,0.517544] recall 0.840263 [0.947522,0.517544] recall 0.83114 [0.938776,0.504425] recall 0.861842 [0.927114,0.663717] recall 0.85307 [0.93586,0.60177] recall 0.861842 [0.944606,0.610619] recall 0.826754 [0.921283,0.539823] recall 0.826754 [0.927114,0.522124] recall 0.822368 [0.924198,0.513274] recall 0.839912 [0.927114,0.575221] recall 0.857456 [0.930029,0.637168] recall 0.83114 [0.944606,0.486726] recall 0.848684 [0.915452,0.646018] recall 0.85307 [0.947522,0.566372] recall 0.850877 [0.93586,0.59292] recall 0.824561 [0.927114,0.513274] recall 0.837719 [0.924198,0.575221] recall 0.848684 [0.932945,0.59292] recall 0.833333 [0.918367,0.575221] recall 0.837719 [0.900875,0.646018] recall 0.846491 [0.930029,0.59292] recall 0.846491 [0.889213,0.716814] recall 0.855263 [0.924198,0.646018] recall 0.802632 [0.883382,0.557522] recall 0.837719 [0.918367,0.59292] recall 0.837719 [0.930029,0.557522] recall 0.844298 [0.915452,0.628319] recall 0.83114 [0.930029,0.530973] recall 0.846491 [0.921283,0.619469] recall 0.846491 [0.938776,0.566372] recall 0.861842 [0.932945,0.646018] recall 0.826754 [0.932945,0.504425] recall 0.848684 [0.924198,0.619469] recall 0.850877 [0.93586,0.59292] recall 0.842105 [0.927114,0.584071] recall 0.828947 [0.930029,0.522124] recall 0.826754 [0.918367,0.548673] recall 0.846491 [0.944606,0.548673] recall 0.848684 [0.93586,0.584071] recall 0.833333 [0.900875,0.628319] recall 0.835526 [0.912536,0.60177] recall 0.859649 [0.93586,0.628319] recall 0.859649 [0.953353,0.575221] recall 0.833333 [0.912536,0.59292] recall 0.859649 [0.938776,0.619469] recall 0.844298 [0.915452,0.628319] recall 0.846491 [0.93586,0.575221] recall 0.842105 [0.915452,0.619469] recall 0.839912 [0.915452,0.610619] recall 0.833333 [0.921283,0.566372] recall 0.842105 [0.927114,0.584071] recall 0.822368 [0.938776,0.469027] recall 0.855263 [0.938776,0.60177] recall 0.846491 [0.915452,0.637168] recall 0.85307 [0.950437,0.557522] recall 0.826754 [0.924198,0.530973] recall 0.839912 [0.897959,0.663717] recall 0.855263 [0.924198,0.646018] recall 0.855263 [0.941691,0.59292] recall 0.828947 [0.90379,0.60177] recall 0.848684 [0.947522,0.548673] recall 0.815789 [0.886297,0.60177] recall 0.828947 [0.921283,0.548673] recall 0.833333 [0.959184,0.451327] recall 0.813596 [0.886297,0.59292] recall 0.835526 [0.938776,0.522124] recall 0.839912 [0.909621,0.628319] recall 0.866228 [0.941691,0.637168] recall 0.859649 [0.915452,0.690265] recall 0.859649 [0.959184,0.557522] recall 0.839912 [0.930029,0.566372] recall 0.868421 [0.941691,0.646018] recall 0.839912 [0.915452,0.610619] recall 0.844298 [0.930029,0.584071] recall 0.864035 [0.953353,0.59292] recall 0.864035 [0.921283,0.690265] recall 0.859649 [0.93586,0.628319] recall 0.842105 [0.915452,0.619469] recall 0.864035 [0.959184,0.575221] recall 0.857456 [0.944606,0.59292] recall 0.835526 [0.932945,0.539823] recall 0.846491 [0.924198,0.610619] relative_absolute_error 0.757255 relative_absolute_error 0.747374 relative_absolute_error 0.790637 relative_absolute_error 0.74193 relative_absolute_error 0.758377 relative_absolute_error 0.781693 relative_absolute_error 0.764166 relative_absolute_error 0.774751 relative_absolute_error 0.762074 relative_absolute_error 0.756296 relative_absolute_error 0.758728 relative_absolute_error 0.755775 relative_absolute_error 0.773953 relative_absolute_error 0.742035 relative_absolute_error 0.729666 relative_absolute_error 0.745472 relative_absolute_error 0.758175 relative_absolute_error 0.752782 relative_absolute_error 0.747047 relative_absolute_error 0.764164 relative_absolute_error 0.756896 relative_absolute_error 0.743923 relative_absolute_error 0.755659 relative_absolute_error 0.741037 relative_absolute_error 0.763674 relative_absolute_error 0.778341 relative_absolute_error 0.777434 relative_absolute_error 0.74481 relative_absolute_error 0.743937 relative_absolute_error 0.744272 relative_absolute_error 0.739376 relative_absolute_error 0.718633 relative_absolute_error 0.741281 relative_absolute_error 0.775115 relative_absolute_error 0.776198 relative_absolute_error 0.752108 relative_absolute_error 0.789124 relative_absolute_error 0.785174 relative_absolute_error 0.751265 relative_absolute_error 0.738313 relative_absolute_error 0.749209 relative_absolute_error 0.774987 relative_absolute_error 0.739468 relative_absolute_error 0.72999 relative_absolute_error 0.749793 relative_absolute_error 0.776321 relative_absolute_error 0.730843 relative_absolute_error 0.74903 relative_absolute_error 0.760665 relative_absolute_error 0.759552 relative_absolute_error 0.743146 relative_absolute_error 0.762401 relative_absolute_error 0.774478 relative_absolute_error 0.770606 relative_absolute_error 0.770755 relative_absolute_error 0.750115 relative_absolute_error 0.740994 relative_absolute_error 0.738312 relative_absolute_error 0.750923 relative_absolute_error 0.748695 relative_absolute_error 0.752041 relative_absolute_error 0.794825 relative_absolute_error 0.755983 relative_absolute_error 0.767302 relative_absolute_error 0.732119 relative_absolute_error 0.740172 relative_absolute_error 0.752063 relative_absolute_error 0.760376 relative_absolute_error 0.772253 relative_absolute_error 0.771436 relative_absolute_error 0.75627 relative_absolute_error 0.761908 relative_absolute_error 0.729588 relative_absolute_error 0.780281 relative_absolute_error 0.745951 relative_absolute_error 0.747457 relative_absolute_error 0.755047 relative_absolute_error 0.764559 relative_absolute_error 0.749428 relative_absolute_error 0.792684 relative_absolute_error 0.765707 relative_absolute_error 0.743978 relative_absolute_error 0.769067 relative_absolute_error 0.781686 relative_absolute_error 0.783412 relative_absolute_error 0.73484 relative_absolute_error 0.748326 relative_absolute_error 0.749197 relative_absolute_error 0.743202 relative_absolute_error 0.740502 relative_absolute_error 0.79237 relative_absolute_error 0.750396 relative_absolute_error 0.738897 relative_absolute_error 0.72043 relative_absolute_error 0.756101 relative_absolute_error 0.743602 relative_absolute_error 0.737295 relative_absolute_error 0.762055 relative_absolute_error 0.786979 relative_absolute_error 0.765172 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.432698 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_prior_squared_error 0.431739 root_mean_squared_error 0.349345 root_mean_squared_error 0.34174 root_mean_squared_error 0.353684 root_mean_squared_error 0.332022 root_mean_squared_error 0.345003 root_mean_squared_error 0.36231 root_mean_squared_error 0.348853 root_mean_squared_error 0.353234 root_mean_squared_error 0.351946 root_mean_squared_error 0.343067 root_mean_squared_error 0.343627 root_mean_squared_error 0.343586 root_mean_squared_error 0.348533 root_mean_squared_error 0.338794 root_mean_squared_error 0.342371 root_mean_squared_error 0.343249 root_mean_squared_error 0.352272 root_mean_squared_error 0.34368 root_mean_squared_error 0.343383 root_mean_squared_error 0.348948 root_mean_squared_error 0.350712 root_mean_squared_error 0.334927 root_mean_squared_error 0.340098 root_mean_squared_error 0.339898 root_mean_squared_error 0.347587 root_mean_squared_error 0.3507 root_mean_squared_error 0.350402 root_mean_squared_error 0.344274 root_mean_squared_error 0.343607 root_mean_squared_error 0.340359 root_mean_squared_error 0.338102 root_mean_squared_error 0.334306 root_mean_squared_error 0.341431 root_mean_squared_error 0.355284 root_mean_squared_error 0.349353 root_mean_squared_error 0.339855 root_mean_squared_error 0.354977 root_mean_squared_error 0.351618 root_mean_squared_error 0.337194 root_mean_squared_error 0.337792 root_mean_squared_error 0.341619 root_mean_squared_error 0.358414 root_mean_squared_error 0.345218 root_mean_squared_error 0.341456 root_mean_squared_error 0.342849 root_mean_squared_error 0.349219 root_mean_squared_error 0.335421 root_mean_squared_error 0.340714 root_mean_squared_error 0.344599 root_mean_squared_error 0.347445 root_mean_squared_error 0.335668 root_mean_squared_error 0.342537 root_mean_squared_error 0.350837 root_mean_squared_error 0.349745 root_mean_squared_error 0.359352 root_mean_squared_error 0.340822 root_mean_squared_error 0.339432 root_mean_squared_error 0.343996 root_mean_squared_error 0.340446 root_mean_squared_error 0.342306 root_mean_squared_error 0.342522 root_mean_squared_error 0.355208 root_mean_squared_error 0.343735 root_mean_squared_error 0.34727 root_mean_squared_error 0.339874 root_mean_squared_error 0.342118 root_mean_squared_error 0.344742 root_mean_squared_error 0.340932 root_mean_squared_error 0.35137 root_mean_squared_error 0.357763 root_mean_squared_error 0.343469 root_mean_squared_error 0.345773 root_mean_squared_error 0.337948 root_mean_squared_error 0.356567 root_mean_squared_error 0.337476 root_mean_squared_error 0.34098 root_mean_squared_error 0.346756 root_mean_squared_error 0.347106 root_mean_squared_error 0.341341 root_mean_squared_error 0.355451 root_mean_squared_error 0.354813 root_mean_squared_error 0.348152 root_mean_squared_error 0.351958 root_mean_squared_error 0.352908 root_mean_squared_error 0.351162 root_mean_squared_error 0.3363 root_mean_squared_error 0.335396 root_mean_squared_error 0.3424 root_mean_squared_error 0.344331 root_mean_squared_error 0.333304 root_mean_squared_error 0.352666 root_mean_squared_error 0.344745 root_mean_squared_error 0.33635 root_mean_squared_error 0.325641 root_mean_squared_error 0.339179 root_mean_squared_error 0.341145 root_mean_squared_error 0.33623 root_mean_squared_error 0.347973 root_mean_squared_error 0.350129 root_mean_squared_error 0.349286 root_relative_squared_error 0.807364 root_relative_squared_error 0.78979 root_relative_squared_error 0.817391 root_relative_squared_error 0.76733 root_relative_squared_error 0.797329 root_relative_squared_error 0.837328 root_relative_squared_error 0.806227 root_relative_squared_error 0.816353 root_relative_squared_error 0.813375 root_relative_squared_error 0.792855 root_relative_squared_error 0.79415 root_relative_squared_error 0.794054 root_relative_squared_error 0.805488 root_relative_squared_error 0.782981 root_relative_squared_error 0.791248 root_relative_squared_error 0.793275 root_relative_squared_error 0.81413 root_relative_squared_error 0.794272 root_relative_squared_error 0.793586 root_relative_squared_error 0.806447 root_relative_squared_error 0.812323 root_relative_squared_error 0.775762 root_relative_squared_error 0.78774 root_relative_squared_error 0.787275 root_relative_squared_error 0.805086 root_relative_squared_error 0.812296 root_relative_squared_error 0.811605 root_relative_squared_error 0.797412 root_relative_squared_error 0.795866 root_relative_squared_error 0.788344 root_relative_squared_error 0.783115 root_relative_squared_error 0.774325 root_relative_squared_error 0.790827 root_relative_squared_error 0.822914 root_relative_squared_error 0.809175 root_relative_squared_error 0.787177 root_relative_squared_error 0.822203 root_relative_squared_error 0.814423 root_relative_squared_error 0.781014 root_relative_squared_error 0.782398 root_relative_squared_error 0.791261 root_relative_squared_error 0.830164 root_relative_squared_error 0.799599 root_relative_squared_error 0.790884 root_relative_squared_error 0.794111 root_relative_squared_error 0.808865 root_relative_squared_error 0.776906 root_relative_squared_error 0.789166 root_relative_squared_error 0.798164 root_relative_squared_error 0.804756 root_relative_squared_error 0.777478 root_relative_squared_error 0.793389 root_relative_squared_error 0.812612 root_relative_squared_error 0.810083 root_relative_squared_error 0.832336 root_relative_squared_error 0.789416 root_relative_squared_error 0.786195 root_relative_squared_error 0.796769 root_relative_squared_error 0.788545 root_relative_squared_error 0.792854 root_relative_squared_error 0.793353 root_relative_squared_error 0.822737 root_relative_squared_error 0.796163 root_relative_squared_error 0.804352 root_relative_squared_error 0.78722 root_relative_squared_error 0.792419 root_relative_squared_error 0.798496 root_relative_squared_error 0.78967 root_relative_squared_error 0.813848 root_relative_squared_error 0.828654 root_relative_squared_error 0.795548 root_relative_squared_error 0.800883 root_relative_squared_error 0.78276 root_relative_squared_error 0.825885 root_relative_squared_error 0.781666 root_relative_squared_error 0.789782 root_relative_squared_error 0.80316 root_relative_squared_error 0.80397 root_relative_squared_error 0.790619 root_relative_squared_error 0.823299 root_relative_squared_error 0.821822 root_relative_squared_error 0.806393 root_relative_squared_error 0.81521 root_relative_squared_error 0.81741 root_relative_squared_error 0.813366 root_relative_squared_error 0.778942 root_relative_squared_error 0.776848 root_relative_squared_error 0.793071 root_relative_squared_error 0.797543 root_relative_squared_error 0.772003 root_relative_squared_error 0.81685 root_relative_squared_error 0.798502 root_relative_squared_error 0.779057 root_relative_squared_error 0.754254 root_relative_squared_error 0.785609 root_relative_squared_error 0.790164 root_relative_squared_error 0.778779 root_relative_squared_error 0.80598 root_relative_squared_error 0.810974 root_relative_squared_error 0.809019 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 1630 usercpu_time_millis 1270 usercpu_time_millis 1260 usercpu_time_millis 1360 usercpu_time_millis 1310 usercpu_time_millis 1410 usercpu_time_millis 1470 usercpu_time_millis 1370 usercpu_time_millis 1360 usercpu_time_millis 1380 usercpu_time_millis 1500 usercpu_time_millis 1320 usercpu_time_millis 1300 usercpu_time_millis 1300 usercpu_time_millis 1320 usercpu_time_millis 1410 usercpu_time_millis 1480 usercpu_time_millis 1260 usercpu_time_millis 1300 usercpu_time_millis 1430 usercpu_time_millis 1380 usercpu_time_millis 1360 usercpu_time_millis 1290 usercpu_time_millis 1370 usercpu_time_millis 1400 usercpu_time_millis 1360 usercpu_time_millis 1400 usercpu_time_millis 1360 usercpu_time_millis 1380 usercpu_time_millis 1390 usercpu_time_millis 1360 usercpu_time_millis 1360 usercpu_time_millis 1460 usercpu_time_millis 1370 usercpu_time_millis 1410 usercpu_time_millis 1370 usercpu_time_millis 1420 usercpu_time_millis 1390 usercpu_time_millis 1310 usercpu_time_millis 1340 usercpu_time_millis 1350 usercpu_time_millis 1370 usercpu_time_millis 1370 usercpu_time_millis 1370 usercpu_time_millis 1310 usercpu_time_millis 1470 usercpu_time_millis 1390 usercpu_time_millis 1360 usercpu_time_millis 1390 usercpu_time_millis 1250 usercpu_time_millis 1360 usercpu_time_millis 1450 usercpu_time_millis 1340 usercpu_time_millis 1280 usercpu_time_millis 1280 usercpu_time_millis 1430 usercpu_time_millis 1300 usercpu_time_millis 1270 usercpu_time_millis 1300 usercpu_time_millis 1300 usercpu_time_millis 1340 usercpu_time_millis 1440 usercpu_time_millis 1410 usercpu_time_millis 1410 usercpu_time_millis 1390 usercpu_time_millis 1430 usercpu_time_millis 1400 usercpu_time_millis 1340 usercpu_time_millis 1430 usercpu_time_millis 1290 usercpu_time_millis 1380 usercpu_time_millis 1440 usercpu_time_millis 1460 usercpu_time_millis 1440 usercpu_time_millis 1390 usercpu_time_millis 1350 usercpu_time_millis 1310 usercpu_time_millis 1360 usercpu_time_millis 1330 usercpu_time_millis 1340 usercpu_time_millis 1280 usercpu_time_millis 1340 usercpu_time_millis 1420 usercpu_time_millis 1310 usercpu_time_millis 1290 usercpu_time_millis 1390 usercpu_time_millis 1360 usercpu_time_millis 1300 usercpu_time_millis 1430 usercpu_time_millis 1250 usercpu_time_millis 1350 usercpu_time_millis 1330 usercpu_time_millis 1450 usercpu_time_millis 1360 usercpu_time_millis 1370 usercpu_time_millis 1380 usercpu_time_millis 1260 usercpu_time_millis 1360 usercpu_time_millis 1340 usercpu_time_millis 1320 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 1630 usercpu_time_millis_training 1270 usercpu_time_millis_training 1260 usercpu_time_millis_training 1360 usercpu_time_millis_training 1310 usercpu_time_millis_training 1410 usercpu_time_millis_training 1470 usercpu_time_millis_training 1370 usercpu_time_millis_training 1360 usercpu_time_millis_training 1380 usercpu_time_millis_training 1500 usercpu_time_millis_training 1320 usercpu_time_millis_training 1300 usercpu_time_millis_training 1300 usercpu_time_millis_training 1320 usercpu_time_millis_training 1410 usercpu_time_millis_training 1480 usercpu_time_millis_training 1250 usercpu_time_millis_training 1300 usercpu_time_millis_training 1430 usercpu_time_millis_training 1380 usercpu_time_millis_training 1360 usercpu_time_millis_training 1290 usercpu_time_millis_training 1370 usercpu_time_millis_training 1390 usercpu_time_millis_training 1360 usercpu_time_millis_training 1400 usercpu_time_millis_training 1360 usercpu_time_millis_training 1380 usercpu_time_millis_training 1390 usercpu_time_millis_training 1360 usercpu_time_millis_training 1360 usercpu_time_millis_training 1450 usercpu_time_millis_training 1370 usercpu_time_millis_training 1410 usercpu_time_millis_training 1370 usercpu_time_millis_training 1420 usercpu_time_millis_training 1390 usercpu_time_millis_training 1310 usercpu_time_millis_training 1340 usercpu_time_millis_training 1350 usercpu_time_millis_training 1370 usercpu_time_millis_training 1370 usercpu_time_millis_training 1360 usercpu_time_millis_training 1310 usercpu_time_millis_training 1470 usercpu_time_millis_training 1390 usercpu_time_millis_training 1360 usercpu_time_millis_training 1390 usercpu_time_millis_training 1250 usercpu_time_millis_training 1360 usercpu_time_millis_training 1440 usercpu_time_millis_training 1340 usercpu_time_millis_training 1280 usercpu_time_millis_training 1280 usercpu_time_millis_training 1430 usercpu_time_millis_training 1300 usercpu_time_millis_training 1270 usercpu_time_millis_training 1300 usercpu_time_millis_training 1300 usercpu_time_millis_training 1340 usercpu_time_millis_training 1440 usercpu_time_millis_training 1410 usercpu_time_millis_training 1410 usercpu_time_millis_training 1390 usercpu_time_millis_training 1430 usercpu_time_millis_training 1400 usercpu_time_millis_training 1340 usercpu_time_millis_training 1430 usercpu_time_millis_training 1290 usercpu_time_millis_training 1380 usercpu_time_millis_training 1440 usercpu_time_millis_training 1450 usercpu_time_millis_training 1440 usercpu_time_millis_training 1390 usercpu_time_millis_training 1350 usercpu_time_millis_training 1300 usercpu_time_millis_training 1360 usercpu_time_millis_training 1320 usercpu_time_millis_training 1340 usercpu_time_millis_training 1280 usercpu_time_millis_training 1340 usercpu_time_millis_training 1420 usercpu_time_millis_training 1300 usercpu_time_millis_training 1290 usercpu_time_millis_training 1390 usercpu_time_millis_training 1360 usercpu_time_millis_training 1300 usercpu_time_millis_training 1420 usercpu_time_millis_training 1250 usercpu_time_millis_training 1350 usercpu_time_millis_training 1330 usercpu_time_millis_training 1450 usercpu_time_millis_training 1360 usercpu_time_millis_training 1370 usercpu_time_millis_training 1380 usercpu_time_millis_training 1260 usercpu_time_millis_training 1360 usercpu_time_millis_training 1340 usercpu_time_millis_training 1320